﻿ BernoulliDistribution Methods

# BernoulliDistribution Methods

The BernoulliDistribution type exposes the following members.

Methods
NameDescription
BaseDistributionFunction
Computes the cumulative distribution function by summing the outputs of the ProbabilityMassFunction(Int32) for all elements in the distribution domain. Note that this method should not be used in case there is a more efficient formula for computing the CDF of a distribution.
(Inherited from UnivariateDiscreteDistribution.)
BaseInverseDistributionFunction
Gets the inverse of the cumulative distribution function (icdf) for this distribution evaluated at probability p using a numerical approximation based on binary search.
(Inherited from UnivariateDiscreteDistribution.)
Clone
Creates a new object that is a copy of the current instance.
(Overrides DistributionBaseClone.)
ComplementaryDistributionFunction(Int32)
Gets P(X > k) the complementary cumulative distribution function (ccdf) for this distribution evaluated at point k. This function is also known as the Survival function.
(Inherited from UnivariateDiscreteDistribution.)
ComplementaryDistributionFunction(Int32, Boolean)
Gets the complementary cumulative distribution function (ccdf) for this distribution evaluated at point k. This function is also known as the Survival function.
(Inherited from UnivariateDiscreteDistribution.)
CumulativeHazardFunction
Gets the cumulative hazard function for this distribution evaluated at point x.
(Inherited from UnivariateDiscreteDistribution.)
DistributionFunction(Int32)
Gets P(X ≤ k), the cumulative distribution function (cdf) for this distribution evaluated at point k.
(Inherited from UnivariateDiscreteDistribution.)
DistributionFunction(Int32, Boolean)
Gets P(X ≤ k) or P(X < k), the cumulative distribution function (cdf) for this distribution evaluated at point k, depending on the value of the inclusive parameter.
(Inherited from UnivariateDiscreteDistribution.)
DistributionFunction(Int32, Int32)
Gets the cumulative distribution function (cdf) for this distribution in the semi-closed interval (a; b] given as P(a < X ≤ b).
(Inherited from UnivariateDiscreteDistribution.)
Equals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Finalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Fit(Double)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Fit(Int32)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Fit(Double, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Fit(Double, Double)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Fit(Double, Int32)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Fit(Int32, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Fit(Double, Double, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Overrides UnivariateDiscreteDistributionFit(Double, Double, IFittingOptions).)
Fit(Double, Int32, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Fit(Int32, Double, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Fit(Int32, Int32, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from UnivariateDiscreteDistribution.)
Generate
Generates a random observation from the current distribution.
(Inherited from UnivariateDiscreteDistribution.)
Generate(Random)
Generates a random observation from the current distribution.
(Overrides UnivariateDiscreteDistributionGenerate(Random).)
Generate(Int32)
Generates a random vector of observations from the current distribution.
(Inherited from UnivariateDiscreteDistribution.)
Generate(Int32, Double)
Generates a random vector of observations from the current distribution.
(Inherited from UnivariateDiscreteDistribution.)
Generate(Int32, Int32)
Generates a random vector of observations from the current distribution.
(Inherited from UnivariateDiscreteDistribution.)
Generate(Int32, Random)
Generates a random vector of observations from the current distribution.
(Inherited from UnivariateDiscreteDistribution.)
Generate(Int32, Int32, Random)
Generates a random vector of observations from the current distribution.
(Overrides UnivariateDiscreteDistributionGenerate(Int32, Int32, Random).)
Generate(Int32, Double, Random)
Generates a random vector of observations from the current distribution.
(Inherited from UnivariateDiscreteDistribution.)
GetHashCode
Serves as the default hash function.
(Inherited from Object.)
GetRange
Gets the distribution range within a given percentile.
(Inherited from UnivariateDiscreteDistribution.)
GetType
Gets the Type of the current instance.
(Inherited from Object.)
HazardFunction
Gets the hazard function, also known as the failure rate or the conditional failure density function for this distribution evaluated at point x.
(Inherited from UnivariateDiscreteDistribution.)
InnerComplementaryDistributionFunction
Gets P(X > k) the complementary cumulative distribution function (ccdf) for this distribution evaluated at point k. This function is also known as the Survival function.
(Overrides UnivariateDiscreteDistributionInnerComplementaryDistributionFunction(Int32).)
InnerDistributionFunction
Gets the cumulative distribution function (cdf) for this distribution evaluated at point k.
(Overrides UnivariateDiscreteDistributionInnerDistributionFunction(Int32).)
InnerInverseDistributionFunction
Gets the inverse of the cumulative distribution function (icdf) for this distribution evaluated at probability p. This function is also known as the Quantile function.
(Overrides UnivariateDiscreteDistributionInnerInverseDistributionFunction(Double).)
InnerLogProbabilityMassFunction
Gets the log-probability mass function (pmf) for this distribution evaluated at point x.
(Overrides UnivariateDiscreteDistributionInnerLogProbabilityMassFunction(Int32).)
InnerProbabilityMassFunction
Gets the probability mass function (pmf) for this distribution evaluated at point x.
(Overrides UnivariateDiscreteDistributionInnerProbabilityMassFunction(Int32).)
InverseDistributionFunction
Gets the inverse of the cumulative distribution function (icdf) for this distribution evaluated at probability p. This function is also known as the Quantile function.
(Inherited from UnivariateDiscreteDistribution.)
LogCumulativeHazardFunction
Gets the log-cumulative hazard function for this distribution evaluated at point x.
(Inherited from UnivariateDiscreteDistribution.)
LogProbabilityMassFunction
Gets the log-probability mass function (pmf) for this distribution evaluated at point x.
(Inherited from UnivariateDiscreteDistribution.)
MemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
ProbabilityMassFunction
Gets the probability mass function (pmf) for this distribution evaluated at point x.
(Inherited from UnivariateDiscreteDistribution.)
QuantileDensityFunction
Gets the first derivative of the inverse distribution function (icdf) for this distribution evaluated at probability p.
(Inherited from UnivariateDiscreteDistribution.)
ToString
Returns a String that represents this instance.
(Inherited from DistributionBase.)
ToString(IFormatProvider)
Returns a String that represents this instance.
(Inherited from DistributionBase.)
ToString(String)
Returns a String that represents this instance.
(Inherited from DistributionBase.)
ToString(String, IFormatProvider)
Returns a String that represents this instance.
(Overrides DistributionBaseToString(String, IFormatProvider).)
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Extension Methods
NameDescription
HasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
IsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.)